Navicat for PostgreSQL vs. Postgresus vs. SQLBackupAndFTP vs. dbForge Data Generator for MySQL Comparison Chart

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development. From writing simple SQL queries to developing complex databases, Navicat for PostgreSQL is designed to accommodate a wide range of users, from PostgreSQL beginners to seasoned developers. Connect to local/remote PostgreSQL servers and compatible with cloud databases like Amazon Redshift, Amazon Aurora, Amazon RDS, Google Cloud and Microsoft Azure, and all PostgreSQL database objects. Navicat provides users with our Navicat Cloud service. Sync your connection settings and queries to the cloud so you can get real-time queries and connections anytime and anywhere. With Navicat Cloud, you can leverage every minute of your day to maximize your productivity. Navicat allows you to establish secure SSH sessions through SSH Tunneling, ensuring strong authentication and secure encryption between two hosts. The authentication method can use a password or a public/private key pair.

No more complicated configuration, just a single form to automate backups: select databases, backup (full, diff, tran log), encrypt, compress, send to a folder, FTP or cloud service. SQLBackupAndFTP is a software that backups SQL Server, MySQL, and PostgreSQL Server databases, performs regular full, differential, and transaction log backups, runs file/folder backup, zips and encrypts the backups, stores them on a network or on an FTP server or in the cloud (Amazon S3 and others - we're constantly adding more), removes old backups, and sends an e-mail confirmation on the job's success or failure. SQLBackupAndFTP is ideal for any SQL Server, MySQL, PostgreSQL, Azure SQL, or Amazon RDS SQL database where backups should be sent to FTP, SFTP, FTPS, NAS, local or network folder, Google Drive, Dropbox, OneDrive, Box, Amazon S3 (and any S3-Compatible storage), Azure Storage, Backblaze B2, Yandex.Disk. It is especially useful for any SQL Server versions, including Azure SQL and Amazon RDS SQL.